Used Python libraries Beautiful Soup and Scrapy to retrieve relevant real estate data from the internet efficientlyPerformed feature engineering and data cleaning procedures on the retrieved data to ensure data accuracyVisualized the cleaned data using Python's powerful data visualization libraries to assist the Business Analysis teamTrained machine learning models for house price prediction, to ensure better accuracy techniques such as ensemble learning were appliedTo further assist the business analysis team, created an application to display estates on the map and predict the prices of the houses

Prepared the laboratory for experiments, ensuring that all necessary equipment and chemical elements were available and ready to useMonitored the stock availability of laboratory equipment and chemical elementsPerformed chemical and non-chemical experiments and reported results to the instructorsSupervised students during their laboratory experiments, provided guidance and ensured that they followed safety protocols